IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Study on Optimizing Construction Project Management using AI and Machine Learning

Main Article Content

Vijay Laxmi, Mandeep Kaur

Abstract

This research investigates how to integrate machine learning (ML) and artificial intelligence (AI) approaches to optimise building project management. The study looks at the roles, difficulties, demographics, and use of technology by construction professionals. The respondents' profile is diverse, as revealed by demographic research, which highlights the significance of taking this diversity into account when developing successful AI implementation strategies. The responsibilities that are held by different members of the project management community highlight the variety of skills needed to solve problems in building projects. The study also emphasises participation in different kinds of construction projects, highlighting the necessity of flexible project management techniques. Project success could be improved by using AI technologies and focused interventions in certain areas, according to analysis of project management issues. The analysis of how project management apps are used points to potential uses of artificial intelligence (AI) and machine learning, especially in frequently used programmes such as Microsoft Outlook and MS Project. All things considered, the study offers a solid basis for creating a workable framework that will enable building industry experts to improve project planning and execution using AI and machine learning technology

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